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Testing possibilities to extract selected landscape characteristics for description of indication-relevant bird species habitats in the Krkonoše Mts. from remote sensing data
Polák, Mojmír ; Kupková, Lucie (advisor) ; Janík, Tomáš (referee)
The thesis uses remote sensing data from two spatial scales (Sentinel-2 with a 10 x 10 m pixel and PlanetScope 3 x 3 m. It explores the possibilities of extracting selected landscape characteristics (spectral indices, land cover type, landscape metrics). In order to evaluate which characteristics and at what scale are statistically significant for the occurrence of 23 selected bird species, species richness in quadrats and the number of species of the order Passeriformes in the Krkonoše Mountains. Data on species occurrence were mapped in the year 2012-2014 The strength of the relationship between characteristics and abundance was determined by Pearson's correlation coefficient. It could not be confirmed that data with higher spatial resolution would be more beneficial for extracting landscape characteristics. Overall, the landscape characteristics did not prove functional relationships for all selected species, but for some species, species richness, and order of Passeriformes, the assumption of elevation and land cover as important factors was confirmed. Land cover was analysed using the Random Forest supervised classification method in Google Earth Engine with an overall accuracy of 78 % for Sentinel-2 data, both in tundra and in the rest of the area, and 77 % for PlanetScoce data in tundra, 66...
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Fusion of Radar and Visual Data for Remote Sensing
Strych, Tomáš ; Beran, Vítězslav (referee) ; Kolář, Martin (advisor)
Cieľom práce je vygenerovať satelitný optický snímok v prípade jeho nedostupnosti. Takýto snímok je vygenerovaný z aktuálneho radarového snímku a za pomoci radarových a optických snímkov z minulosti. Zameranie práce cieli na poľnohospodárstvo, kde sa na analýzu dát používajú rôzne vegetačné indexy. Pre zjednodušenie problematiky je práca zameraná len na optický snímok zobrazujúci NDVI. Boli vytvorené 4 dátové sady, pre prvé tri ročné obdobia a~štvrtý, ktorý ich spája. Pre riešenie problému preloženia obrázku z jedného na druhý bol použitý model Pix2Pix-cGAN. Výsledky práce zobrazujú rozdiely pri použití dátových sád, rozličného množstva a~typu použitých snímkov, tak ako aj intervalu medzi snímkami. Daným výskumom bolo zistené, že sieť je schopná vytvárať reálne uveriteľné obrázky s validnými numerickými hodnotami, avšak má problém správne využiť informáciu o radarovej zmene, ktorá je dôležitá pre ohodnotenie vývoja rastlín práve v prípade nedostupnosti optického snímku. Táto práca a~jej výsledky sú jedinečné vďaka naprieč Európou geograficky rozmanitej dátovej sade a vďaka zameraniu na agrikultúru, a to bez ohľadu na typ plodín.
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Analysis of long-term changes of vegetation indices
Beránková, Petra ; Štych, Přemysl (advisor) ; Jedlička, Jan (referee)
The work deals with the issue of research of long-term changes of vegetation indices concretely indices NDVI (Normalized Difference Vegetation Index). The first part is devoted to detailed analysis of domestic and foreign literature, which deals with the calculation and interpretation of vegetation indices values. The main theme of this work is to explore relation between temperature and NDVI changes and precipitation and NDVI changes over the period 1982-2006. These connections are examined using correlation and regression analysis. Attention is concentrated to the Czech Republic, Central Europe and Finland. The average value of NDVI in Central Europe increased over the study period of 0,0012 per year. The average value of NDVI in Czech Republic increased of 0,0014 per year. On the territory of the Czech Republic increased the value of NDVI in three seasons (spring, autumn and winter). In the summer, in some areas, decreased NDVI values. Correlation coefficients between NDVI and temperature and NDVI and precipitation appeared consistently the highest in the spring. Keywords: NDVI, vegetation indices, temperature, precipitation, Central Europe, Czech Republic
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Multitemporal segmentation of landscape based on dynamic time warping
Suske, Daniel ; Štych, Přemysl (advisor) ; Kolář, Jan (referee)
The thesis provides new insight into the segmentation processing of freely available satellite time- series data. It is based on open source technologies and offers a new method of unsupervised segmentation, using time series data along with the method originally designed for speech recognition, Dynamic Time Warping (DTW). The thesis deals with the selection of suitable data with sufficient temporal, spatial, and spectral resolution. The most suitable solution in all respects is the Sentinel 2 constellation. The thesis is based on the assumption that the use of time series improves segmentation results compared to segmentation based on one image. The main objective of the work was to find or to create a segmentation method that will take into account not only the time- series data but also the method of calculating the closest relationships using the DTW method. Another goal was to create an algorithm that preprocesses the time series data of the chosen constellation with minimal user input, allows the user to gradually visualize intermediate results and offers a comparison to alternative, currently available segmentation methods used in the scientific community. The main part is the developed segmentation algorithm, whose results can be influenced by tuning the parameters. The results of the work...
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Analysis of Landscape Deforestation Using Satellite Imagery
Javorka, Martin ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
Today is important to protect forest resources and tracking deforestation is essential. Re- mote sensing has an important role in this monitoring effort. This thesis studies four different techniques for detecting deforestation from satellite imagery - using both optical and radar data. The specifics of Earth observation data and geospatial analyses are described. The analytical techniques are used for detecting deforestation in the study area of Chocske vrchy. Image segmentation with Unet neural network model is used to classify there all deforested patches.
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Archiv družicových dat CENIA
Kvapil, Jiří
Laboratoř dálkového průzkumu CENIA, české informační agentury životního prostředí v rámci své výzkumné činnosti vyvinula a pro širokou veřejnost zpřístupnila informační systém Archiv družicových dat. Aplikace je dostupná na webu Laboratoře dálkového průzkumu na https://dpz.cenia.cz/archiv. Data jsou využitelná pro nejrůznější aplikace v zemědělství, lesnictví, monitoringu životního prostředí, sledování vývoje území apod.
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Hodnocení stavu porostů obilnin s využitím spektrálních měření
Burgetová, Markéta
Master thesis is focused on the evaluation of cereal crop stands with the use of spec-tral measurements and its implementation by crop management practices. In the literature review the basics of yield formation and crop survey are described as well as the im-portance of crop monitoring by spectral measurement for decision support in precision farming practices. Practical part of the thesis includes statistical evaluation of field expe-riment in 2017 and 2018, which were focused on the mapping of crop heterogeneity within the fields with winter wheat. In this experiment, plant samples were taken and ana-lyzed for estimation of nitrogen content and amount of above-ground biomass in various part of the field. This sampling was extended by proximal measurement of solar radiation using spectroradiometer in visible and near infrared part of electromagnetic spectrum. Da-ta processing was performed using descriptive statistics and correlation and regression analysis.The results showed high spatial variability of observed fields.Correlation and re-gression analysis evaluated the relationship between spectral measurement of the stand, represented by vegetation indices, and its laboratory estimation. As the conclusion, spectral measurements was be recommended as a complement to traditional methods of agrobiological control of cereals and could be used for delineation of management zones in site specific crop management.
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Uplatnění vybraných forem zinku při mimokořenové výživě kukuřice
Pajl, Jaroslav
This thesis deals with the influence of foliar application of selected forms of zinc on the yield and quality of corn grain (Zea mays L.). The issue was dealt with in the form of a small-plot vegetation experiment on the landfill site in Žabčice. Zinc was applied in the 6-8 leaf phase in three forms of ZnO, ZnSO4 and Zn-EDTA at doses of 100, 250 and 500 g.ha-1 in each of them. A zinc-free variant was used as a control. In the course of vegetation (14 days after fertilizer application (20 June 2018)) and after harvesting, an inorganic analysis of the plants (Zn content) was carried out, NDVI and NDRE index were determined during vegetation. After harvest, the yield, starch content and weight of a thousand seeds were determined. Zinc fertilization proved to be (p≤0.05) affected by the zinc content during vegetation, but had no effect on NDVI and NDRE index. Grain yield was positively influenced, although no proven zinc effect was demonstrated. WTS and starch content in the grain were neither demonstrably affected nor significantly different from control. Zinc content in the grain was not significantly affected, but zinc fertilization was positive.
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